Blar i Bergen Open Research Archive på forfatter "Gharehbaghi, Arash"
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A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods
Gharehbaghi, Arash; Babic, Ankica (Journal article; Peer reviewed, 2022)This paper presents an original method for studying the performance of the supervised Machine Learning (ML) methods, the A-Test method. The method offers the possibility of investigating the structural risk as well as the ... -
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography
Gharehbaghi, Arash; Babic, Ankica (Journal article; Peer reviewed, 2022)This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network ... -
Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography
Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (Journal article; Peer reviewed, 2020)This paper presents an original machine learning method for extracting diagnostic medical information from heart sound recordings. The method is proposed to be integrated with an intelligent phonocardiography in order to ... -
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
Gharehbaghi, Arash; Partovi, Elaheh; Babic, Ankica (Journal article; Peer reviewed, 2023)This paper presents the results of a study performed on Parallel Convolutional Neural Network (PCNN) toward detecting heart abnormalities from the heart sound signals. The PCNN preserves dynamic contents of the signal in ... -
Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification
Gharehbaghi, Arash; Partovi, Elaheh; Babic, Ankica (Journal article; Peer reviewed, 2023)Convolutional Neural Network (CNN) has been widely proposed for different tasks of heart sound analysis. This paper presents the results of a novel study on the performance of a conventional CNN in comparison to the different ...